03_grafica_regresion.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cfed31c5-1c3e-4024-9860-fd7da3747ae4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python 3.8.8 (default, Apr 13 2021, 15:08:03) [MSC v.1916 64 bit (AMD64)]\n",
      "pandas 1.2.4\n",
      "numpy 1.20.1\n",
      "seaborn 0.11.1\n",
      "matplotlib 3.3.4\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "\n",
    "sns.set_style('whitegrid')\n",
    "dir_enigh_2020 = 'datos/enigh_2020'\n",
    "dir_tablas = 'datos/tablas_regresiones'\n",
    "\n",
    "print('Python', sys.version)\n",
    "for lb in [pd, np, sns, plt.matplotlib]:\n",
    "    print(lb.__name__, lb.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "903af32e-3cc0-46a5-954e-1327ef791603",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>estimado</th>\n",
       "      <th>b</th>\n",
       "      <th>ci95</th>\n",
       "      <th>p</th>\n",
       "      <th>se</th>\n",
       "      <th>t</th>\n",
       "      <th>ci_l</th>\n",
       "      <th>ci_u</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>variable</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>100,000 y más habitantes</th>\n",
       "      <td>0.0216</td>\n",
       "      <td>0.0032,0.0400</td>\n",
       "      <td>0.0214</td>\n",
       "      <td>0.0094</td>\n",
       "      <td>2.3014</td>\n",
       "      <td>0.0032</td>\n",
       "      <td>0.0400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15,000 a 99,999 habitantes</th>\n",
       "      <td>0.0080</td>\n",
       "      <td>-0.0106,0.0266</td>\n",
       "      <td>0.4003</td>\n",
       "      <td>0.0095</td>\n",
       "      <td>0.8411</td>\n",
       "      <td>-0.0106</td>\n",
       "      <td>0.0266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2,500 a 14,999 habitantes</th>\n",
       "      <td>-0.0032</td>\n",
       "      <td>-0.0212,0.0148</td>\n",
       "      <td>0.7289</td>\n",
       "      <td>0.0092</td>\n",
       "      <td>-0.3466</td>\n",
       "      <td>-0.0212</td>\n",
       "      <td>0.0148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2001-4000</th>\n",
       "      <td>0.0021</td>\n",
       "      <td>-0.0108,0.0150</td>\n",
       "      <td>0.7479</td>\n",
       "      <td>0.0066</td>\n",
       "      <td>0.3215</td>\n",
       "      <td>-0.0108</td>\n",
       "      <td>0.0150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4001-6000</th>\n",
       "      <td>0.0188</td>\n",
       "      <td>0.0028,0.0349</td>\n",
       "      <td>0.0213</td>\n",
       "      <td>0.0082</td>\n",
       "      <td>2.3029</td>\n",
       "      <td>0.0028</td>\n",
       "      <td>0.0349</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "estimado                         b            ci95       p      se        t  \\\n",
       "variable                                                                      \n",
       "100,000 y más habitantes    0.0216   0.0032,0.0400  0.0214  0.0094   2.3014   \n",
       "15,000 a 99,999 habitantes  0.0080  -0.0106,0.0266  0.4003  0.0095   0.8411   \n",
       "2,500 a 14,999 habitantes  -0.0032  -0.0212,0.0148  0.7289  0.0092  -0.3466   \n",
       "2001-4000                   0.0021  -0.0108,0.0150  0.7479  0.0066   0.3215   \n",
       "4001-6000                   0.0188   0.0028,0.0349  0.0213  0.0082   2.3029   \n",
       "\n",
       "estimado                      ci_l    ci_u  \n",
       "variable                                    \n",
       "100,000 y más habitantes    0.0032  0.0400  \n",
       "15,000 a 99,999 habitantes -0.0106  0.0266  \n",
       "2,500 a 14,999 habitantes  -0.0212  0.0148  \n",
       "2001-4000                  -0.0108  0.0150  \n",
       "4001-6000                   0.0028  0.0349  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "efectos_0 = pd.read_html(f'{dir_tablas}/efectos_marginales_enigh_2020.html', header=[2, 3], thousands='')[0]\n",
    "lista_estimados = efectos_0.columns.levels[1][1].split('/')\n",
    "efectos = efectos_0.droplevel(1, axis=1)\\\n",
    "    .rename(columns={'Unnamed: 0_level_0': 'variable'})\\\n",
    "    .assign(variable=lambda x: x['variable'].ffill())\\\n",
    "    .query(\"variable!='Observations'\")\\\n",
    "    .loc[lambda x: x.filter(like='mod').notnull().any(axis=1)]\\\n",
    "    .assign(estimado=lambda x: lista_estimados * (x.shape[0]//len(lista_estimados)))\\\n",
    "    .set_index(['variable', 'estimado'])\\\n",
    "    .stack().unstack('estimado')\\\n",
    "    .assign(\n",
    "        ci_l=lambda x: x['ci95'].str.split(',').str[0].astype(float),\n",
    "        ci_u=lambda x: x['ci95'].str.split(',').str[1].astype(float),\n",
    "        b=lambda x: x['b'].str.replace('*', '', regex=False).astype(float)\n",
    "    )\\\n",
    "    .rename_axis(index=['variable', 'modelo'])\\\n",
    "    .swaplevel('modelo', 'variable')\\\n",
    "    .loc['modelo_1']\n",
    "efectos.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b45ffc54-a14e-4620-bf8f-47e074ec637a",
   "metadata": {},
   "outputs": [],
   "source": [
    "dicc_nombre_coef = {\n",
    "    '100,000 y más habitantes': 'Localidad # >100 mil hab',\n",
    "    '15,000 a 99,999 habitantes': 'Localidad # 15-99.9 mil hab',\n",
    "    '2,500 a 14,999 habitantes': 'Localidad # 2.5-14.9 mil hab',\n",
    "    '2001-4000': 'Ingreso mensual # 2-4 mil pesos',\n",
    "    '4001-6000': 'Ingreso mensual # 4-6 mil pesos',\n",
    "    '6001-8000': 'Ingreso mensual # 6-8 mil pesos',\n",
    "    '8000 o más': 'Ingreso mensual # >8 mil pesos',\n",
    "    'Alto': 'Estatus socioec. # Alto',\n",
    "    'Medio alto': 'Estatus socioec. # Medio alto',\n",
    "    'Medio bajo': 'Estatus socioec. # Medio bajo',\n",
    "    'Servicios': 'Sector # Servicios',\n",
    "    'Industrial': 'Sector # Industrial',\n",
    "    'Maestría o doctorado': 'Educación # Maestría/doctorado',\n",
    "    'Normal o técnica': 'Educación # Normal/técnica',\n",
    "    'Profesional': 'Educación # profesional',\n",
    "    'Secundaria o preparatoria': 'Educación # Secundaria/prepa',\n",
    "    'edad': 'Edad',\n",
    "    'mujer': 'Sexo # Mujer',\n",
    "    'tiene_celular': 'Tiene celular',\n",
    "    'tiene_contabilidad': 'Hace contabilidad',\n",
    "    'tiene_empleados': 'Tiene empleados',\n",
    "    'tiene_internet': 'Tiene internet en el hogar'\n",
    "}\n",
    "\n",
    "\n",
    "orden_coef = ['100,000 y más habitantes', '15,000 a 99,999 habitantes', '2,500 a 14,999 habitantes', '2001-4000', '4001-6000', '6001-8000', '8000 o más', 'Alto', 'Medio alto', 'Medio bajo', 'Servicios', 'Industrial', 'tiene_contabilidad', 'tiene_internet', 'tiene_empleados', 'Maestría o doctorado',  'Profesional', 'Normal o técnica', 'Secundaria o preparatoria', 'mujer', 'tiene_celular']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "11e43f34-462d-4792-bc35-7d5c1d2c6e80",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.subplot()\n",
    "ax.figure.set_size_inches(6, 6)\n",
    "modelo_1 = efectos.loc[orden_coef].assign(n=lambda x: range(x.shape[0])).sort_values('n', False)\n",
    "ax.plot(modelo_1['b'], modelo_1['n'], 'o', color='C0', label='Coeficiente')\n",
    "\n",
    "ax.hlines(y=modelo_1['n'], xmin=modelo_1['ci_l'], xmax=modelo_1['ci_u'], color='C0', label='intervalo 95%')\n",
    "\n",
    "sns.despine(left=True)\n",
    "ax.set_yticks(list(range(len(dicc_nombre_coef)-1)))\n",
    "ax.set_yticklabels([dicc_nombre_coef.get(x) for x in orden_coef])\n",
    "ax.yaxis.grid(False)\n",
    "ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), frameon=False)\n",
    "\n",
    "ax.set_title('Efecto marginal sobre probabilidad de\\n aceptar formas de pago alternativas', pad=20, size=14)\n",
    "ax.set_ylabel('variable independiente')\n",
    "ax.set_xlabel('Puntos porcentuales')\n",
    "ax.axvline(x=0, ls='--', color='red')\n",
    "ax.yaxis.grid(True, ls='--', alpha=0.5)\n",
    "ax.figure.savefig('graficas/08_efectos_marginales_modelo.png', dpi=600, bbox_inches='tight')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}